TBI, a hidden injuryArticle by Turner Bird Cox.

Syndicate from Thin Red-Line News.

DARPA is looking to invest $50 million in attempts to reverse engineer the brain. They are seeking new devices and applications to do so through programs listed below. In Ray Kurtzweil’s book, «The Singularity,» he believes that computers will reach human level intelligence around 2029. This is something the United States government also believes and this program illustrates their attempts.

DARPA’s website wrote, «»The President’s initiative reinforces the significance of understanding how the brain records, processes, uses, stores and retrieves vast quantities of information,” explained DARPA Director, Arati Prabhakar. “This kind of knowledge of brain function could inspire the design of a new generation of information processing systems; lead to insights into brain injury and recovery mechanisms; and enable new diagnostics, therapies and devices to repair traumatic injury.»»

DARPA’s website also wrote, «DARPA’s planned investment includes new programs to address the areas outlined and ongoing efforts designed to advance fundamental understanding of the brain’s dynamics to drive applications (Revolutionizing Prosthetics, Restorative Encoding Memory Integration Neural Device, Reorganization and Plasticity to Accelerate Injury Recovery, Enabling Stress Resistance), manufacture sensing systems for neuroscience applications (Reliable Neutral Interface Technology, Blast Gauge), and analyze large data sets (Detection and Computational Analysis of Psychological Signals).»

EDITOR’S NOTE: It has been said (by me) that single issue obsessors are absolutely critical in the world of journalism, because it is precisely the individual that obsesses over a single topic that is able to get the absolute bottom of that topic.  For DARPA, the guy I go to is Turner Bird Cox, the author of this article, and the coordinator of Thin Red-Line News, and the DARPA News blog.  More than anyone else I know, this man has his hand on the pulse of the DARPA Program.  Thanks for keeping an eye out, Mr. Cox.


Artificial-General-IntelligenceArticle by Turner Bird Cox.

Syndicated from Thin Red-Line News.

DARPA is now asking researchers to focus on new platforms and tools for developing probabilistic intelligence. The Probabilistic Programming for Advanced Machine Learning program, or PPAML, was introduced to create applications that allow researchers to be more effective. DARPA is looking for automated tools that will enable computers to be taught, rather than programmed by creating applications that are designed to help computers handle information and ambiguity. Ben Goertzel explains AGI in this video.

In reference to the PPAML, DARPA released an article on 19 March 2013, in which the DARPA Program Manager is quoted as saying: “We want to do for machine learning what the advent of high-level program languages 50 years ago did for the software development community as a whole.”

AGI, or «Artificial General Intelligence,» has not grow much over the last few years due to a lack of applications that make teaching computers to learn easier. For example, the Windows Operating System is a platform for computer desktops and laptops. Without Windows, computers would be hard to manage for the average user. The PPAML program is looking for similar platforms that help teach computers to learn, become self-aware, and/or become conscious of themselves. The new platforms should allow more people to create probabilistic applications for AGI and require little knowledge of the actual domain.

This is DARPA’s attempt to create a boom in AGI. DARPA is looking for knowledge and tools for creating human-like intelligence in computers. They realize a new platform like html is needed to create more effective applications for AGI.

In a video of Jeffrey Hawkins on «Ted Talks», he discusses how artificially growing brains from abortion embryos while teaching them to learn is aiding in the mapping of the brain.

Kurtzweilai.net reports, «…since humans have it and apes do not, the information for how to achieve it must be encoded in the relatively tiny number of differences between the DNA of humans and that of chimpanzees. So in one respect I can agree with the AGI-is-imminent camp: it is plausible that just a single idea stands between us and the breakthrough. But it will have to be one of the best ideas ever.«